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Become a Quant: Algorithmic Trading with Python and AI

udemy · Negocios · ⭐ 4.52 (943 reseñas) · All Levels · en · ⏱ 17,5 h

Impartido por TradingBotsSimplified Academy · 10.471 alumnos

49.99 USD 19.99 USD

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Descripción

Welcome to Become a Quant: Algorithmic Trading with Python and AI! Why this course: • Start Instantly, Even with Zero Coding Skills — Skip the steep learning curve and build trading bots from scratch—no prior programming experience needed • Everything You Need in One Place — Build trading bots for stocks, options, futures, forex, and crypto—no need to piece together multiple resources • Curated Learning from a Trusted Trading Bot Brand — Learn from a Top-Rated Fiverr Pro Agency trusted by clients worldwide for trading bot development, backed by hundreds of five-star reviews • Build Smarter with AI — Use AI as your coding co-pilot to develop powerful features with ease • Trade Smarter with Machine Learning — Forecast prices using real-world machine learning models like Random Forest and XGBoost—gain a data-driven edge • From Backtesting to Live Trading — Learn the required resources for live trading and how to export real-world trading signals What you'll build: • Stock Trading Bot Foundation — Build stock trading bots to master the core algorithmic trading framework—so you can expand to other asset classes • Advanced Asset-Class Trading Bots — Build complex trading bots for options, futures, forex, and crypto—so you can handle asset-specific mechanics across markets • Machine-Learning Modules — Train and deploy Random Forest and XGBoost models—so you generate more powerful, data-driven signals for your trading bot • Pro-Grade Extras — Build market scanners, perform financial-statement and sentiment analysis, and explore cutting-edge features for building trading bots What you'll learn: • Master Python Essentials — Skip the fluff; learn only the syntax and libraries needed to build trading bots • Code Smarter with AI — Build powerful features in minutes with an AI copilot • Deploy ML Forecasts — Engineer and train Random Forest and XGBoost models, then integrate predictions into your trading bot • Complete Data Management — Stream data feeds, design data structures, and tap into alternative data sources for building trading bots • Complete Trading Logic — Master portfolio management, risk management, and scheduled events for end-to-end trading automation • Backtest with Depth — Access decades of historical data and pro-level performance reports in QuantConnect • Options and Futures Logistics — Manage expiries, Greeks, and margin to control risk effectively • Craft an Indicator Playbook — Combine multiple indicators for robust entry and exit signals • Live-Trading Operations — Required resources, signal export methods, and performance considerations for real markets What you'll get: • Practice Actively — Quizzes and coding exercises lock concepts in place • Enjoy Lifetime Access — Buy once, learn forever! • Grab the Source — Download all slides and full example code files Still thinking? • Watch Day 2's lecture for free, see a successful backtest, and judge for yourself! Enroll now to start building your very own trading bots with Python, AI, machine learning, and QuantConnect—today!

Lo que aprenderás

  • Multi-Asset: Build trading bots for stocks, options, futures, forex, and crypto!
  • Machine Learning: Build Random Forest and XGBoost models to analyze market data and integrate them into your trading bots!
  • Algorithm Structure: Learn every component of a trading bot from position sizing and risk management to order handling!
  • Generative AI: Create advanced functionalities using AI!
  • Complex Asset Classes: Learn contract expiry management for options and futures, plus learn to handle options Greeks!
  • Sophisticated Functionalities: Learn to code advanced tools like market scanners, news sentiment analysis, and scheduled events!
  • Live-Trading Deployment: Learn to deploy, monitor, and manage trading bots in live markets!
  • Backtesting: Learn to backtest trading strategies using real-world historical market data!

Requisitos

  • A computer.
  • Internet connection.